A mixed-mode design for a self-programming chip for real-time estimation, prediction, and control

Author

Waheed, Khurram ; Salam, Fathi M.

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA

Volume

2

fYear

2000

fDate

2000

Firstpage

798

Abstract

The paper overviews the development of a self-learning computing chip in 0.18 micron copper technology. This chip supercedes, in its capabilities, present micro-computing paradigms (micro-processors, micro-controllers, and DSPs) in the application domains of process identification, modeling, prediction, and real-time control. In particular, specific domains of targeted potential applications include: (i) Nano-level on-line bio-probing and actuation, (ii) image analysis and feature extraction, (iii) channel equalization for high speed mobile communications, (iv) inertial navigation sensor fusion, and network management for routers

Keywords

copper; integrated circuit design; integrated circuit interconnections; mixed analogue-digital integrated circuits; neural chips; programmable circuits; real-time systems; 0.18 micron; Cu; copper technology; micro-computing; mixed-mode design; neural network; process identification; process modeling; real-time control; real-time estimation; real-time prediction; self-learning computing chip; self-programming chip; Communication system control; Copper; Digital signal processing chips; Feature extraction; Image analysis; Inertial navigation; Mobile communication; Paper technology; Predictive models; Sensor fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on

Conference_Location

Lansing, MI

Print_ISBN

0-7803-6475-9

Type

conf

DOI

10.1109/MWSCAS.2000.952876

Filename

952876